In our work, we use point based representation to perform point cloud densification.
Approaches such as PU-Net [1]}, EC-Net [2]} etc. considers the problem of upsampling the point clouds.
All of these approaches consider only point cloud as output but we also estimate the normals by upsampling.
Surface normals are also an important property of point clouds.
It has applications in surface reconstruction, rendering as well as lighting calculations of 3D model which motivates us to estimate point cloud with normals.
We compare our results with some of the mentioned approaches in this paper.
In conclusion our main contributions are:
